Pith Number
pith:NWFV7ZLA
pith:2025:NWFV7ZLAB4ZUS63NPGSNJ6H5NF
not attested
not anchored
not stored
refs pending
Can Pose Transfer Models Generate Realistic Human Motion?
arxiv:2501.15648 v1 · 2025-01-26 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NWFV7ZLAB4ZUS63NPGSNJ6H5NF}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:05:32.413668Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6d8b5fe5600f33497b6d79a4d4f8fd697d1259e90ee1df654f620dc48e8ab63e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NWFV7ZLAB4ZUS63NPGSNJ6H5NF \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6d8b5fe5600f33497b6d79a4d4f8fd697d1259e90ee1df654f620dc48e8ab63e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ec9438a0924aee6659b5aa63125c099223f0f476edddbce3314d24e09d127c46",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-26T19:17:05Z",
"title_canon_sha256": "14f12d9c6690c34363f7a952a0bb000e31b2be0595b51c0cccecfacd002d6580"
},
"schema_version": "1.0",
"source": {
"id": "2501.15648",
"kind": "arxiv",
"version": 1
}
}